MLOps Researcher

Center for Responsible; Porto; Híbrido; EUR 45 000 - 65 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Flexible hours

Work from home

Partial health insurance

Professional development

Resumo da oferta

Fraunhofer Portugal AICOS is seeking a talented MLOps engineer to join the Intelligent Systems group. You will contribute to the development of a robust ML backend for a platform that supports traceable and auditable ML pipelines and helps bridge research with real-world impact.

You will work on security-focused backend development, integration with experiment tracking, data transfer, and scalable deployment across Kubernetes clusters, collaborating with multidisciplinary teams to advance the

Qualificações

• Master’s degree or equivalent in Computer Science, Electrical and Computer Engineering, or related studies.
• Proficient in Python coding.
• Experience with microservices and containerization (Docker/Kubernetes) or willingness to learn.
• Knowledge of ML workflows and frameworks (scikit-learn, TensorFlow, Keras, PyTorch).
• Experience with AWS cloud computing.
• Experience with infrastructure-as-code tools like Terraform.
• Familiarity with MLOps tools such as Kubeflow, Metaflow, MLFlow, or similar.
• Knowledge of storage solutions like S3 and MinIO for data transfer and metadata storage.
• Excellent English communication skills.

Responsabilidades

• Continue developing the MLOps backend with focus on security and scalability.
• Integrate with experiment tracking and model storage tools.
• Handle data transfer and metadata storage.
• Streamline infrastructure configuration and deployment (including Kubernetes clusters).
• Contribute to a module registry for Python code modules that integrate with the backend.
• Maintain and improve the current codebase.
• Collaborate with other engineers to further develop the platform.

Conhecimentos

Python

Docker

Kubernetes

AWS

Terraform

ML frameworks

S3/MinIO

Formação académica

Master’s degree in Computer Science

Master’s degree in Electrical/Computer Engineering

Descrição da oferta de emprego

Fraunhofer Portugal AICOS is seeking a talented MLOps engineer to join our dynamic and multidisciplinary team within the Intelligent Systems group. In this role, you will be at the forefront of technological innovation, working on applied research projects that bridge the gap between cutting-edge research and real-world impact. You will contribute to initiatives that enhance industries, promote social well-being, and improve quality of life. Specifically, you will contribute to the development of a robust and flexible ML backend for a platform aiming to support the development and deployment of traceable and auditable ML pipelines.

Your role:

• Continue developing our MLOps backend, focusing on security in and scalability;
• Integrate with tools for experiment tracking and model storage.
• Handle data transfer and metadata storage;
• Streamline infrastructure configuration and deployment for clients (including Kubernetes clusters).
• Contribute to the development of a module registry for Python code modules that integrate with the existing backend.
• Maintain and improve the current codebase;
• Collaborate with other engineers to further develop the overall platform.

Your profile:

• Academic Qualifications: Master’s degree or equivalent qualifications in Computer Science, Electrical and Computer Engineering, or related studies.
• Technical Skills
  • Proficient in writing Python code;
  • Experience with microservices and containerization technologies like Docker and Kubernetes (or willingness to learn);
  • General knowledge of machine learning workflows and frameworks (e.g., scikit-learn, TensorFlow, Keras, PyTorch);
  • Experience in cloud computing, particularly AWS;
  • Experience with infrastructure-as-code tools like Terraform;
  • Familiarity with MLOps tools such as Kubeflow, Metaflow, MLFlow, or similar.
  • Knowledge of storage solutions like S3 and MinIO for data transfer and metadata storage.
• Other SkillsExcellent English communication skills (technical and general audiences).

We value:

• Expertise in hosting and scaling ML pipelines in production environments;
• Ability to work effectively in multidisciplinary and cross-functional teams;
• Autonomous, dependable, proactive, and a critical-thinking team player.

Why should you join Fraunhofer Portugal:

• Innovative Environment: Be part of a people-centric workplace that fosters creativity and out-of-the-box thinking. We encourage the development of new ideas and ensure that every voice is heard;
• Research with Impact: Engage in projects that sit at the intersection of research and real-world applications, contributing to technology that makes a tangible difference in society;
• Multidisciplinary Teams: Collaborate with professionals from diverse backgrounds, enhancing your learning and professional growth;
• Professional Excellence: Work within a culture that upholds professional standards and best practices, promoting continuous improvement and excellence;
• Flexible Work Arrangements: Benefit from flexible working hours and opportunities to work from home, supporting a healthy work-life balance;
• Comprehensive Benefits: Benefit from a partially funded health insurance plan, and a variety of additional perks;
• Supportive Culture: Join a team with an excellent spirit, where collaboration, mutual support, and team achievements are celebrated.

Observation:

• ACHILLES – Human-centred Machine Learning: Lighter, Clearer, Safer, with Notice No. HORIZON-CL4-2024-DATA-01-01 and reference XYZ;
• NextGenAI – Center for Responsible AI, with Notice No. 01/C05-i01/2021 and reference Projeto nº 62 – C645008882-00000055.